ABSTRACT
En la Republica Argentina, la prevalencia de obesidad se ha incrementado considerablemente y la de diabetes mellitus tipo 2 (DMT2) alcanza 12,7%. La obesidad presenta heterogeneidad y el aumento de la grasa abdominal puede incluir hipertrigliceridemia, hiperglucemia, disminucion de C-HDL, aumentos de apolipoproteina B (Apo B), aumento de lipoproteinas LDL pequenas y densas, hiperinsulinemia, insulino-resistencia (IR), estado inflamatorio cronico, estado protrombotico y otras alteraciones metabolicas, que se han reunido en el llamado sindrome metabolico con prevalencia del 20 al 40%. La resistencia a la insulina (IR) esta presente en 10 al 25% de la poblacion y se asocia con esas alteraciones. La determinacion de IR es compleja, necesita de internacion en clinicas y debe ser realizada por especialistas. En el laboratorio se puede estimar a traves del dosaje de insulina, pero no esta estandarizado, por lo que es necesario disponer de tecnicas sencillas y accesibles. La relacion trigliceridos (TG)/colesterol HDL (C-HDL) puede ser una opcion utilizando como valores de corte TG/C-HDL ≥2,5 en mujeres y ≥3,5 en varones. Se asocia significativamente con IR y enfermedad cardiovascular (ECV), tiene buena especificidad aunque bajo poder discriminador por lo cual cuando esta presente y existe riesgo de DMT2 o ECV deberia complementarse con el calculo del colesterol-no-HDL o Apo B y el colesterol remanente. Teniendo en cuenta la pandemia de obesidad y DMT2 y la elevada frecuencia de ECV, la relacion TG/C-HDL podria ser un marcador que deberia ser informado por el laboratorio bioquimico-clinico.
In Argentina, the prevalence of obesity has increased considerably and type 2 diabetes mellitus (DMT2) reaches 12.7%. Obesity presents heterogeneity and the increase in abdominal fat may include hypertriglyceridemia, hyperglycemia, decrease in HDL-C, increases in apolipoprotein B (Apo B), increase in small and dense LDL lipoproteins, hyperinsulinemia, insulin resistance (IR), chronic inflammatory state, prothrombotic state and other metabolic alterations, which have been included in the so-called metabolic syndrome with 20 to 40% prevalence. Insulin resistance is present in 10 to 25% of the population and is associated with these alterations. The determination of IR is complex; it needs hospitalization and must be performed by specialists. In the laboratory, it can be estimated through insulin dosing, but it is not standardized, so it is necessary to have simple and accessible techniques. The triglycerides (TG)/HDL cholesterol (HDL-C) ratio can be an option using TG/C-HDL cutoff values ≥2.5 in women and ≥3.5 in men. It is significantly associated with IR and CVD and has good specificity but low discriminating power. So when it is present and there is a risk of T2DM or cardiovascular disease, CVD should be complemented with the calculation of non-HDL cholesterol or Apo B and the remaining cholesterol. Considering the pandemic of obesity and DMT2 and the high frequency of CVD, the TG/C-HDL ratio marker should be reported by the biochemical-clinical laboratory.
Na Republica Argentina, a prevalencia de obesidade aumentou em forma consideravel e a de diabetes mellitus tipo 2 (DMT2) atinge 12,7%. A obesidade apresenta heterogeneidade e o aumento da gordura abdominal pode incluir hipertrigliceridemia, hiperglicemia, diminuicao do HDL-C, aumentos da apolipoproteina B (Apo B), aumento das lipoproteinas LDL pequenas e densas, hiperinsulinemia, resistencia a insulina, estado inflamatorio cronico, estado pro-trombotico e outras alteracoes metabolicas, que se encontraram na chamada sindrome metabolica, com prevalencia de 20 a 40%. A resistencia a insulina (RI) esta presente em 10 a 25% da populacao e esta associada a essas alteracoes. A determinacao da RI e complexa, precisa da hospitalizacao em clinicas e deve ser realizada por especialistas. No laboratorio, isso pode ser estimado atraves da dosagem de insulina, mas nao e padronizado, portanto e necessario ter tecnicas simples e acessiveis. A relacao triglicerideos (TG)/colesterol HDL (C-HDL) pode ser uma opcao usando como valores de corte TG/C-HDL ≥2,5 em mulheres e ≥3,5 em homens. Esta significativamente associado a RI e a doenca cardiovascular (DCV), possui boa especificidade, embora apresente baixo poder discriminador; portanto, quando esta presente e ha risco de DMT2 ou DCV, deveria ser complementado com o calculo do colesterol nao-HDL ou Apo B e o restante colesterol. Considerando a pandemia de obesidade e DMT2 e a alta frequencia de DCV, a relacao TG/C-HDL poderia ser um marcador que deveria ser relatado pelo laboratorio bioquimico-clinico.
Subject(s)
Diabetes Mellitus , Diabetes Mellitus, Type 2 , Atherosclerosis , Heart Disease Risk Factors , Obesity , Apolipoproteins , Triglycerides , Insulin Resistance , Cholesterol , Prevalence , Morbidity , Metabolic Syndrome , Abdominal Fat , Cardiometabolic Risk Factors , Hospitalization , Hyperglycemia , Hyperinsulinism , InsulinABSTRACT
Diabetes is a major global epidemic, currently affecting approximately 451 million adults worldwide. The present study was undertaken to establish the relation between lipid profile and the risk of cardiac diseases. Cardiac issues and stroke are said to be more prevalent and different from that of non-diabetic perspectives and heavy alcohol consumption affects all the metabolism. 400 subjects were included in the study of which 200 were healthy controls non-alcoholics and control alcoholics 100 in each respectively under the name - Group I and the remaining 200 were diabetic non-alcoholics and diabetic alcoholics 100 in each labeled under- Group II, both from the age group of 35-55 years. The result specified that there is a strong alliance between alcohol consumption in diabetes, lipid profile and its effect leading to cardiac diseases.
ABSTRACT
Objetivo: Evaluar la interrelación de índices de resistencia y sensibilidad a la insulina con variables antropométricas y metabólicas de mujeres del tercer trimestre de embarazo y RN a término. Métodos: Este estudio transversal evaluó 52 mujeres sanas en el tercer trimestre del embarazo y 52 reciénnacidos (RN) a término. Se evaluaron peso corporal pregestacional y ganancia durante el embarazo (Δpeso). Se estimó el peso fetal (PFE), circunferencia abdominal fetal (CAF) y grosor placentario por ultrasonido. Se registró peso, talla y circunferencia abdominal (CA) del RN y peso placentario. Se realizó lipidograma, glucosa e insulina en ayunas en el suero de la madre y cordón umbilical. Se calcularon los índices lipídicos y de resistencia y sensibilidad a la insulina. Resultados: El Δpeso materno se correlacionó positivamente con PFE y peso del RN (r=0,32, p<0,02; r=0,32, p<0,05). El HOMA-R del RN se relacionó positivamente con CT (r=0,46; p<0,01) y TG (r=0,52; p<0,0001). El índice TG/C-HDL del RN se correlacionó positivamente con índices HOMA-R y TG/C-HDLmat (r=0,31, p=0,03; r=0,35, p=0,01). El peso pregestacional, materno final, placentario y TG maternos fueron significativamente más altos en los RN de mayor peso. Los índices TG/C-HDLmat y HOMA-Rmat se relacionaron inversamente con los índices QUICKImat y HOMA-Smat (p<0,01). Conclusiones: La cuantificación de los índices TG/C-HDL, HOMA-R, HOMA-S y QUICKI en el tercer trimestre del embarazo, puede tener utilidad potencial para identificar mujeres con riesgo alto para desarrollar complicaciones metabólicas en el embarazo.
Objective: To evaluate the relationship between insulin resistance and sensibility indexes with anthropometrics and metabolic parameters in third trimester of pregnant women and normal term newborns. Methods: In this cross-sectional study, 52 normal pregnant women in third trimester and 52 term born were assessed. Pre-gestational body weight, blood pressure and pregnancy weight gain (Δ-weight) were registered. Estimated fetal weight (EFW) and abdominal circumference (AFC) and placental gross were evaluated by ultrasound. Placental and newborn body weight, height and abdominal circumference were registered. Serum lipids, glucose and insulin concentrations were measured in fasting women and cord blood. Placental weight was registered. Lipids and insulin resistance and sensibility indexes were calculated. Results: Δ-weight was significant and positively correlated with EFW and newborn body weight (r=0,32, p<0,02; r=0,32; p<0,05). Newborn HOMA-R was positively correlated with total cholesterol (TC) (r=0,46; p<0,01) and triglycerides serum concentration (r=0,52; p<0,0001). TG/C-HDL index was positively correlated with HOMA-R and maternal TG/C-HDL(r=0,31, p=0,03; r=0,35, p=0,01). Pre-gestational weight, term weight, placental and serum maternal triglycerides were significantly higher in newborns with higher body weight group. Maternal TG/C-HDL and HOMA-R were negatively related with maternal QUICKI and HOMA-S (p<0,01). Conclusions: The quantification of TG/C-HDL, HOMA-R, HOMA-S QUICKI indexes in pregnant women during third trimester could be potentially useful to identify pregnant women at high risk of developing metabolic complications during pregnancy.